For another mainstream branch, lots of efforts are devoted to improving the performance of neural network based video coding frameworks by increasing the prediction ability of
deep networks for intra- [1]}, [2]} or inter-prediction of video codec [3]}, [4]}, [5]}.
Meanwhile, the end-to-end learned video compression frameworks, such as DVC [6]} and HLVC [7]}, further push the compression efficiency up along this
route. All these methods could reduce the overall R-D cost on large-scale video data. Besides, as the entire coding pipeline is optimized in an end-to-end manner, it is also flexible to adapt the rate and distortion to accommodate a variety of end applications, e.g., machine vision analytics tasks.
